-The shiny app utilizes the “airquality” dataset in r that has the daily air quality measurements for New York from May 1973 to September 1973.
-The user can predict the Ozone (ppb) with inputs of temperature, wind speed, and solar radiation level.
-There are 2 models to predict Ozone, both a linear models
-The default model, Model 1, uses only temperature.
-In addition, the user can select wether to add wind speed and/or solar radiation level to improve predictive capabilities.
-Model2 is depened on what variables the user selects to include.